2004
DOI: 10.1016/j.icesjms.2004.08.014
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Application of pre-fishery abundance modelling and Bayesian hierarchical stock and recruitment analysis to the provision of precautionary catch advice for Irish salmon (Salmo salar L.) fisheries

Abstract: abundance modelling and Bayesian hierarchical stock and recruitment analysis to the provision of precautionary catch advice for Irish salmon (Salmo salar L.) fisheries. e ICES Journal of Marine Science, 61: 1370e1378.Ireland has one of the last remaining commercial salmon driftnet fisheries in the North Atlantic, with recent catches averaging 162 000 salmon (1997e2003), approximately 20% of the total landings of salmon in the entire North Atlantic. Since 2001, the Irish commercial salmon fishery has been manag… Show more

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Cited by 23 publications
(16 citation statements)
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“…Information on capture location and return data of the experimental groups was gathered as part of an ongoing Irish national coded wire tag recovery programme (Browne et al, 1994;Ó Maoiléidigh et al, 2004). Catches from coastal commercial fisheries (drift nets, draft nets, etc.)…”
Section: Tag Recovery and Data Analysismentioning
confidence: 99%
“…Information on capture location and return data of the experimental groups was gathered as part of an ongoing Irish national coded wire tag recovery programme (Browne et al, 1994;Ó Maoiléidigh et al, 2004). Catches from coastal commercial fisheries (drift nets, draft nets, etc.)…”
Section: Tag Recovery and Data Analysismentioning
confidence: 99%
“…Declines in marine survival of Atlantic salmon have been recorded in Ireland (Salmon Management Task Force Report (Anon. 1996); Ó Maoiléidigh et al . 2004; Jackson et al .…”
Section: Introductionmentioning
confidence: 99%
“…The management of Atlantic salmon is to an increasing degree being based on the identification of spawning targets (ST), representing the number of spawners (and by extension eggs) required for different populations to satisfy some desired recruitment strength (e.g., Ó Maoiléidigh et al 2004;Chaput et al 1998;Hindar et al 2007). Because identification of STs is based on empirical stock-recruitment relationships, and such data are absent for most populations, one of the main challenges for management is to transfer knowledge from data-rich to data-poor rivers.…”
Section: Finstad Et Almentioning
confidence: 99%